End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: whisper-tiny-zero-shot
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Speech Commands
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.0
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-tiny-zero-shot
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3696
+- Accuracy: 0.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8182        | 1.0   | 6    | 1.7915          | 0.3333   |
+| 1.7461        | 2.0   | 12   | 1.8821          | 0.0      |
+| 1.6025        | 3.0   | 18   | 1.8774          | 0.0      |
+| 1.4742        | 4.0   | 24   | 1.9225          | 0.0      |
+| 1.1823        | 5.0   | 30   | 2.0195          | 0.0      |
+| 0.9187        | 6.0   | 36   | 2.1978          | 0.0      |
+| 0.9999        | 7.0   | 42   | 2.2030          | 0.0      |
+| 0.6854        | 8.0   | 48   | 2.2368          | 0.0      |
+| 0.8815        | 9.0   | 54   | 2.3313          | 0.0      |
+| 0.5719        | 10.0  | 60   | 2.3696          | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

model.safetensors

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